GEO fundamentals
Entity SEO: define your brand so LLMs stop guessing
LLMs don't leave blanks — an undefined brand gets an improvised one. The five-step entity playbook: canonical description, repetition, markup, proof.
TL;DR
Language models don’t leave blanks — an undefined brand gets an improvised one. Entity SEO is writing your identity down so precisely and repeating it so consistently that models stop guessing: one canonical description, everywhere, backed by structured data and corroborating sources.
Why entities decide AI recommendations
When an assistant answers “best options for X in Riyadh”, it isn’t scanning a live index of everything — it’s recalling entities it associates with that category, place and audience, then (sometimes) verifying with retrieval. A brand with a crisp entity footprint gets recalled; a brand the model half-knows gets skipped or, worse, described wrongly with full confidence.
How to define your brand entity (step by step)
1. Write the canonical sentence
One sentence: what you are, for whom, where. “Search Genie is an AI search intelligence platform by HYVE Labs for brands in the GCC” — category, audience, geography, parent. Every word is a retrieval hook. State relationships between your own products the same way: our note that Search Genie is powered by Waggle says in one line what runs on what and who builds both.
2. Repeat it verbatim across your surfaces
Homepage, about page, footer, LinkedIn, directories, app-store listings, press boilerplate. The repetition is the feature: paraphrasing on every surface reads, to a model, like several similar companies. For retailers the same rule applies product by product; the SKU-level version is in AI shopping answers.
3. Encode it in structured data
Organization markup with name, url, parent organization and sameAs links to your profiles. It’s the machine-readable spine that ties the mentions together — our free schema markup generator builds it and tells you what is still missing.
4. Earn corroboration
A claim that exists only on your own site is an assertion; the same claim in a directory, a review and an article is a fact a model will repeat. Point digital PR at the sources engines already cite in your category.
5. Audit what models actually say — then re-audit
Ask every engine to describe you, in English and in your other market languages, on a schedule. Track it like a metric, because it is one — it’s step one of the full AI visibility audit. This is the same loop as measuring AI share of voice, pointed at your own name.
Common entity failures we see
- The rename that never propagated — old name still live across directories, so models mix two identities.
- Category drift — five different self-descriptions (“platform”, “agency”, “tool”, “suite”, “solution”) and the model picks none.
- Geography missing — nothing states your markets, so you lose every “in Dubai / in Saudi Arabia” prompt to brands that say it plainly.
Curious how sharply engines see you today? Start with the free AI-visibility audit — it includes what assistants currently say about your brand.
Frequently asked questions
What is entity SEO?
Entity SEO is making sure search engines and language models hold one precise, consistent concept of who you are — your name, category, offering, markets and relationships — rather than a fuzzy cloud of half-signals. For LLMs it's foundational: models recommend entities they understand.
Where do LLMs learn what a brand is?
From everything public and repeated: your site, directories, LinkedIn, press, reviews, forums and structured data. Consistency across those sources is the signal. If your homepage, your Crunchbase and a review site each describe you differently, the model averages the confusion.
How do I check what AI engines think my brand is?
Ask them, systematically: prompt each major assistant to describe your company, your products and your competitors, in every market language. Wrong or vague answers are your entity gaps — and re-asking on a schedule tells you whether your fixes are landing.
Find out what AI says about your brand
Free, human-reviewed audit across AI answers and search.